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- A. Fletcher, Sundeep Rangan, V.K. Goyal, Kannan Ramchandran
- IEEE Journal of Selected Topics in Signalâ€¦
- 2007

Predictive quantization is a simple and effective method for encoding slowly-varying signals that is widely used in speech and audio coding. It has been known qualitatively that leaving correlationâ€¦ (More)

- V.K. Goyal, A. Fletcher, Sundeep Rangan
- IEEE Signal Processing Magazine
- 2008

Recent results in compressive sampling have shown that sparse signals can be recovered from a small number of random measurements. This property raises the question of whether random measurements canâ€¦ (More)

- L R Varshney, V.K. Goyal
- 2007 Information Theory and Applications Workshop
- 2007

There are several applications in information transfer and storage where the order of source letters is irrelevant at the destination. For these source-destination pairs, multiset communicationâ€¦ (More)

- J Kusuma, V.K. Goyal
- 2006 40th Annual Conference on Informationâ€¦
- 2006

We consider the problem of estimating the parameters of a signal when the sampling instances are perturbed by signal-independent timing noise. The classical techniques consider timing noise to induceâ€¦ (More)

- A. Fletcher, Sundeep Rangan, V.K. Goyal, Kannan Ramchandran
- 2006 40th Annual Conference on Informationâ€¦
- 2006

Jump linear systems are linear state-space systems with random time variations driven by a finite Markov chain. These models are widely used in nonlinear control, and more recently, in the study ofâ€¦ (More)

- A. Fletcher, Sundeep Rangan, V.K. Goyal, Kannan Ramchandran
- International Symposium onInformation Theoryâ€¦
- 2004

This work is focused on computing-via a deterministic optimization with linear matrix inequality (LMI) constraints, rather than a pseudorandom simulation-the performance of predictive quantizationâ€¦ (More)

- Vinith Misra, V.K. Goyal, L R Varshney
- 2008 Information Theory and Applications Workshop
- 2008

In traditional modes of lossy compression, attaining low distortion letter-by-letter on a vector of source letters X<sub>1</sub> <sup>N</sup>=(X<sub>1</sub>, X<sub>2</sub>,...,â€¦ (More)

- A. Fletcher, Sundeep Rangan, V.K. Goyal, Kannan Ramchandran
- Proceedings. International Symposium onâ€¦
- 2005

If a signal x is known to have a sparse representation with respect to a frame, the signal can be estimated from a noise-corrupted observation y by finding the best sparse approximation to y. Thisâ€¦ (More)

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